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[Diagnostic interpretation of depressive symptoms from a psychodynamic point of view]
- Publication Year :
- 2010
-
Abstract
- The principal aim of this study is: (i) to assess the rate of depressive disorders in a sample of patient in a psychotherapy service of the Department of Psychiatric Sciences and Psychological Medicine at the Sapienza University, Roma; (ii) to focus the psychopathological features of depressive patient through the SCL-90R scale; (iii) to evaluate the correlation between SCL-90R score and categorical diagnosis.The sample of this study includes 178 patients, who came to our service for a psychotherapy. The anamnestic and clinical information were collected for each patient. Each patient is submitted to the multidimensional scale SCL-90R in the curse of the first interview. A descriptive analysis of all the data collected was made and the principal links between SCL-90 R score and categorical diagnosis were detected.About 46% of the patients were depressive disorders following the DSM-IVTR diagnostic criteria. About 70% of depressive patients have psychoticism pathological scores, 60% have paranoic pathological scores, 70% anxiety pathological scores and 60% interpersonal sensibility pathological scores. The depressive dimension was pathological in about 77% of anxious patient and in 87% of patient with personality disorders.The DSM.IVTR categorical psychiatric diagnosis might underestimate important psychopathological dimensions which are underline through a dimensional scale as the SCL-90R and through a psychodynamic diagnostic instrument.
- Subjects :
- Adult
Male
Paranoid Disorders
Psychiatric Status Rating Scales
Depressive Disorder
Personality Inventory
Depression
Rome
diagnosi dimensionale
diagnosi psicodinamica
Anxiety
Personality Disorders
Severity of Illness Index
diagnosi categoriale
Sampling Studies
Psychotherapy
Psychotic Disorders
Interview, Psychological
Prevalence
Humans
Female
disturbi dell’umore
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.pmid.dedup....1d45a782bcd63b15505bab4029a02b35